The training pipeline is genius: Stage 1: CPT on 500B tokens of structured code tasks
Stage 2: Two-stage SFT with error masking
Stage 3: RL with chunk-level optimization Each stage builds on the last. No shortcuts. Just systematic capability building.
@godofprompt
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Systematic AI Training Pipeline Evolution
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IPA: Chunk-Level Credit Assignment Breakthrough
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Here's the breakthrough nobody expected: They introduced IPA (Interaction-Perceptive Agentic Policy Optimization) that assigns credit at the CHUNK level, not token level. Tokens are too fine. Trajectories are too coarse. Chunks align with actual tool-use semantics.
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Building the ecosystem before the model
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They didn't just train a model. They built the ENTIRE ecosystem first. → ROLL: RL training framework
→ ROCK: Sandboxed execution engine
→ iFlow CLI: Agent orchestration system ROME wasn't built in a day. The infrastructure came first. The model came last. -
AI Agent Demos Exposed as Fraud
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The dirty secret of AI agents: Every demo you've seen is basically fraud. That "autonomous AI employee" your favorite startup showed off? It's 3 ChatGPT calls wrapped in marketing. Meanwhile, this team built ROME using actual production-grade agent infrastructure.
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AI Infrastructure Breakthrough in 2025
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Chinese AI labs just dropped a bombshell research paper that exposes why 99% of "AI agent" companies are building on broken infrastructure. The ROME model + ALE ecosystem might be the most important open-source release of 2025. Here's what nobody's talking about:
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Top 14 AI Tools of 2025 and Their Uses
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My top 14 AI tools of 2025 (and how I actually use each one): 1. Claude Opus 4.5 + Skills → builds apps, writes copy, runs my business
2. GPT-5.2 Pro → complex reasoning and strategy
3. Gemini 3 Pro Deep Research → 50-page reports in minutes
4. NotebookLM → learns from 20 -
Step-by-Step App Development with Claude
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Step 8: Let Claude build it for you Take your idea. Write a simple PRD (product requirements doc). Prompt: "My idea: [IDEA]. Turn my idea into a detailed technical specification with features, user flows, and architecture." Then: "Build this application step by step." Claude
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Analyze and Adapt Successful Prompts
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Step 2: Steal frameworks that already work You're not inventing anything from scratch. Find prompts that get results. Study their structure. Then feed them into Claude with:
"Analyze this prompt. Break down why it works. Create 5 variations for [your use case]." -
Mastering AI Prompts in 2026
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Step 1: Understand what prompts actually are in 2026 Prompts aren't questions. They're instructions that control AI behavior. A prompt has: role, context, task, constraints, output format. Master these 5 elements and you control any AI model. This is the foundation everything
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Combatting AI Bias in Advertising
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I tackle AI Bias in Advertising: How to Avoid It Protect your brand and optimize your budgets. • Audit AI systems • Diversify data sources • Foster inclusive teams Click below to read more: https://
godofprompt.ai/blog/ai-bias-i
n-advertising-how-to-avoid-it
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